Results 291 to 300 of about 30,970,765 (331)

Application of PSO-integrated K-means algorithm in resident digital portrait classification. [PDF]

PLoS One
Yue H, Zhang H, Dai Y.
europepmc   +1 more source

Visual Predictive Control for Robotics with RBF-EKF Coupled State-Disturbance Estimation and Task-Oriented K-Means Clustering. [PDF]

Sensors (Basel)
Ji P, Wang H, Ren W, Han Y, Cao M.
europepmc   +1 more source

The analysis of sculpture image classification in utilization of 3D reconstruction under K-means+. [PDF]

Sci Rep
Wang X.
europepmc   +1 more source

Fairness-aware K-means clustering in digital mental health for higher education students: a generalizable framework for equitable clustering. [PDF]

JAMIA Open
Alluri P, Chen Z, Thesen T, Jacobson NC, Marrero WJ.   +4 more
europepmc   +1 more source

Enhancing classification accuracy in medical datasets using a hybrid distance and cluster refinement-based K-means clustering method. [PDF]

Sci Rep
Al-Khamees HAA, Al-Slivani MM, Kadhim MS, Radhi AD, Sani NS, Al-Amri RM, Wahit F, Afira Sani MA.   +7 more
europepmc   +1 more source

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An Effective and Efficient Algorithm for K-Means Clustering With New Formulation

IEEE Transactions on Knowledge and Data Engineering, 2023
K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches.
F. Nie, Zi-Heng Li, Rong Wang, Xue-Long Li   +3 more
semanticscholar   +1 more source

Efficient Multi-View K-Means Clustering With Multiple Anchor Graphs

IEEE Transactions on Knowledge and Data Engineering, 2023
Multi-view clustering has attracted a lot of attention due to its ability to integrate information from distinct views, but how to improve efficiency is still a hot research topic.
Ben Yang, Xuetao Zhang, Zhongheng Li, F. Nie, Fei Wang   +4 more
semanticscholar   +1 more source

Transforming Complex Problems into K-means Solutions

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
K-means is a fundamental clustering algorithm widely used in both academic and industrial applications. Its popularity can be attributed to its simplicity and efficiency.
Hong-Fu Liu, Junxiang Chen, Jennifer G. Dy, Y. Fu   +3 more
semanticscholar   +1 more source

Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification

Microscopy research and technique (Print), 2021
Image processing plays a major role in neurologists' clinical diagnosis in the medical field. Several types of imagery are used for diagnostics, tumor segmentation, and classification.
A. Khan, Siraj Khan, M. Harouni, R. Abbasi, S. Iqbal, Z. Mehmood   +5 more
semanticscholar   +1 more source

Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering

Microscopy research and technique (Print), 2021
Melanoma skin cancer is the most life‐threatening and fatal disease among the family of skin cancer diseases. Modern technological developments and research methodologies made it possible to detect and identify this kind of skin cancer more effectively ...
Marriam Nawaz, Z. Mehmood, Tahira Nazir, R. Naqvi, A. Rehman, M. Iqbal, Tanzila Saba   +6 more
semanticscholar   +1 more source